#32 California (18-16)

avg: 1695.8  •  sd: 57.15  •  top 16/20: 1.6%

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# Opponent Result Game Rating Status Date Event
58 Kansas Loss 8-13 1004.7 Jan 27th Santa Barbara Invitational 2018
111 Arizona State Win 13-6 1889.21 Jan 27th Santa Barbara Invitational 2018
65 California-Santa Barbara Win 10-8 1725.04 Jan 27th Santa Barbara Invitational 2018
5 Washington Loss 10-13 1723.26 Jan 27th Santa Barbara Invitational 2018
58 Kansas Loss 11-13 1272.02 Jan 28th Santa Barbara Invitational 2018
20 Cal Poly-SLO Loss 11-13 1614.28 Jan 28th Santa Barbara Invitational 2018
143 California-San Diego Win 13-9 1579.48 Jan 28th Santa Barbara Invitational 2018
100 Arizona Win 12-5 1935.48 Feb 10th Stanford Open 2018
320 Caltech** Win 13-2 1104.85 Ignored Feb 10th Stanford Open 2018
214 California-Santa Cruz** Win 13-5 1505.57 Ignored Feb 10th Stanford Open 2018
87 Las Positas Win 13-8 1889.36 Feb 11th Stanford Open 2018
195 Sonoma State** Win 13-5 1563.31 Ignored Feb 11th Stanford Open 2018
85 Colorado College Win 13-3 1999.36 Feb 11th Stanford Open 2018
26 Texas-Dallas Win 11-8 2094.63 Feb 11th Stanford Open 2018
38 Southern California Loss 11-12 1508.89 Feb 17th Presidents Day Invitational Tournament 2018
24 Western Washington Loss 10-13 1413.92 Feb 17th Presidents Day Invitational Tournament 2018
211 Utah State** Win 15-3 1507.84 Ignored Feb 17th Presidents Day Invitational Tournament 2018
55 Oregon State Win 12-9 1863.54 Feb 18th Presidents Day Invitational Tournament 2018
67 Utah Win 15-7 2057.97 Feb 18th Presidents Day Invitational Tournament 2018
19 Colorado Loss 11-12 1725.95 Feb 18th Presidents Day Invitational Tournament 2018
3 Oregon Loss 10-13 1860.63 Feb 19th Presidents Day Invitational Tournament 2018
19 Colorado Win 10-7 2240.62 Feb 19th Presidents Day Invitational Tournament 2018
7 Pittsburgh Loss 9-13 1568.9 Mar 3rd Stanford Invite 2018
1 North Carolina Loss 7-13 1787.8 Mar 3rd Stanford Invite 2018
18 Brigham Young Loss 11-13 1624.54 Mar 3rd Stanford Invite 2018
55 Oregon State Win 13-10 1846.32 Mar 4th Stanford Invite 2018
13 Wisconsin Loss 8-13 1420.96 Mar 4th Stanford Invite 2018
15 Stanford Loss 9-11 1636.42 Mar 4th Stanford Invite 2018
43 British Columbia Loss 8-13 1098.48 Mar 24th NW Challenge 2018
63 Tulane Loss 7-11 996.78 Mar 24th NW Challenge 2018
17 Colorado State Win 13-9 2288.32 Mar 24th NW Challenge 2018
25 Victoria Win 13-10 2059.88 Mar 24th NW Challenge 2018
38 Southern California Win 14-11 1947.23 Mar 25th NW Challenge 2018
17 Colorado State Loss 8-15 1304.95 Mar 25th NW Challenge 2018
**Blowout Eligible

FAQ

The uncertainty of the mean is equal to the standard deviation of the set of game ratings, divided by the square root of the number of games. We treated a team’s ranking as a normally distributed random variable, with the USAU ranking as the mean and the uncertainty of the ranking as the standard deviation
  1. Calculate uncertainy for USAU ranking averge
  2. Model ranking as a normal distribution around USAU averge with standard deviation equal to uncertainty
  3. Simulate seasons by drawing a rank for each team from their distribution. Note the teams in the top 16 (club) or top 20 (college)
  4. Sum the fractions for each region for how often each of it's teams appeared in the top 16 (club) or top 20 (college)
  5. Subtract one from each fraction for "autobids"
  6. Award remainings bids to the regions with the highest remaining fraction, subtracting one from the fraction each time a bid is awarded
There is an article on Ulitworld written by Scott Dunham and I that gives a little more context (though it probably was the thing that linked you here)